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The AI Developer will work in collaboration with stakeholders across Data and Analytics to support ongoing projects and initiatives. The successful incumbent will support the build and optimization of AI models, including developing, testing, validating, and implementing AI algorithms for use cases. The AI Developer will collaborate with a variety of stakeholders including, data scientists, technology partners, and other domain experts to develop, implement, test, validate and monitor AI model performance. This is an individual contributor role.

• Support the build and optimization of AI models; including developing, testing/validation, and implementing AI algorithms for use cases.
• Collaborates with data scientists, technology partners, and other domain experts to develop, implement, and test/validate AI solutions for stakeholders.
• Monitor AI model performance.
• Translates user needs into technical specifications by understanding, conceptualizing, and facilitating technical requirements from user.​
• Analyzes, develops, tests, and implements new software programs, and documentation of entire software development life cycle execution.
• Performs preventative and corrective maintenance, troubleshooting and fault rectification of system and core software components​.
• Ensures that code/configurations adhere to the security, logging, error handling, and performance standards and non-functional requirements.​
• Evaluates new technologies for fit with the program/system/eco-system and the associated upstream and downstream impacts on process, data, and risk.
• Follows release management processes and standards, and applies version controls. ​
• Assists in interpreting and documentation of client requirements.​
• Operates at a group/enterprise-wide level and serves as a specialist resource to senior leaders and stakeholders.
• Applies expertise and thinks creatively to address unique or ambiguous situations and to find solutions to problems that can be complex and non-routine.
• Implements changes in response to shifting trends.
• Broader work or accountabilities may be assigned as needed.

Qualifications:

• Bachelor's/Master's degree in computer science, data science, mathematics or related fields. Ideally a Masters' Degree or PhD level program.
• 5+ years developing AI and ML solutions/models
• Proficient in Python, Pyspark
• Strong understanding of unsupervised machine learning methods, deep learning, and reinforcement learning, convolution networks (CNG), statistics, hyper perimeter tuning,
• Data management skills; handling and processing large datasets, deep understanding of structured and unstructured data, and proficient with data lakes, data engineering, data wrangling, demonstrate understanding of entity resolution concepts, human behavior related data, constructing confidence intervals
• 2+ years experience in Financial Services (Banking)

Salary:

Pay Type:

The above represents BMO Financial Group’s pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https://jobs.bmo.com/ca/en.

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.